Director, Applied AI Engineering
Core
Lead technical delivery of AI applications that turn proprietary life science datasets into products evaluating pharmaceutical markets, treatment adoption, and drug commercial performance.
Role type
Director, Applied AI Engineering (hands-on IC with squad leadership)
Builds
Production AI services, workflows, and scalable data pipelines for life sciences market analysis
Domain
Life Sciences / Pharmaceutical Analytics / Capital Markets
Deliverable
production ML models
Required skills
System design, production coding, ML/LLM integration, workflow automation, automated testing, CI/CD, cloud infrastructure, model evaluation, client-facing engineering
Preferred skills
Life sciences or capital markets background
Technologies
AWS, ML models, LLMs, retrieval, workflow automation
Responsibilities
Design and implement systems combining ML models and LLMs; lead engineers and set implementation standards; identify high-value use cases and define roadmaps; build automated tests and monitoring for AI outputs; take prototypes to production; partner with clients to translate analysis into product priorities
Seniority
Director, hands-on IC with squad leadership
